Qlik Sense vs Tableau Enterprise vs ThoughtSpot comparison

Qlik Sense is a visual analytics and business intelligence (BI) platform that gives users full control over their system’s data. From this platform they can control every aspect of their system data. It maximizes an organization’s ability to make decisions driven by their data.

Benefits of Qlik Sense

Some of the benefits of using Qlik Sense include:

• Easily manipulate data: Qlik Sense allows users to easily combine and otherwise manipulate their system’s data. It allows them to create interactive visual representations of your datasets. The many different ways that the data can be represented offer many potential options for how to analyze the data. These choices enable users to easily gain critical insights.

• Easily automate alerts and routine actions: Qlik Sense enables users to keep a close eye on their data. Automatic alerts that will notify them if their data changes in any way. Users don’t need expert knowledge of coding to create automated data-driven events. Users of all experience levels can take advantage of this benefit. Qlik Sense enables routine actions to be automated when necessary data insights will spur the system to take action. This combination of analytics and other tools empower users to take charge of their data.

• Customize reporting: Users can set Qlik Sense to generate custom reports. These reports can also be customized to be shared by way of one of several methods, allowing users to control who sees their data and what they see.

Reviews from Real Users

Qlik Sense stands out among its competitors for a number of reasons. Two major ones are its associative analytics technology and its remote access capability. Qlik Sense employs an associative analytics engine that gives users the ability to take their data analytics to the next level. Users can create visual connections between different datasets spread across their network, creating deep insights that enable users to gain a full understanding of their data. This engine is easily scaled up to allow a large number of users to benefit from the deep insights that it provides. Users can access Qlik Sense from anywhere in the world. Qlik Sense has an online portal that can be used consistently from anywhere at all. Having the ability to remotely analyze data gives users flexibility when it comes to choosing how to deploy their manpower.

Jarno L., the managing director of B2IT, writes, “The associative technology features are the solution's most valuable aspects. Qlik was the first company to implement an in-memory associative analytics engine. This basically means that all data is loaded into memory, but it also means that instead of joining data together, the data is associated together. From the front end, from the user interface point of view, data can be joined or included or excluded on the fly. It can be drilled down and drilled through and users can slice and dice it and that type of thing can be done from anywhere in the data to any other place in the data. It doesn't have to be predefined. It doesn't have to have hierarchies or anything like that.”

Tami S., the senior business intelligence analyst at the La Jolla Group, writes, “With the changing business landscape, it is nice to access Qlik Sense through an external website. As an organization when we use QlikView Desktop, we need to connect to our internal network. We can access QlikView through the QlikView access point but the website has a little different look and feel than the desktop application. We appreciate that Qlik Sense is browser-based and the user experience is the same whether at home, in the office or on a boat. As long as the user has internet access, performance is the same.”

Tableau Enterprise offers powerful features for creating interactive visualizations, dashboards, and maps, including drag-and-drop functionality and easy integration with multiple data sources, promoting real-time collaboration and self-service analysis.

Tableau Enterprise stands out with its ability to create user-friendly, interactive visualizations, making it pivotal for business intelligence applications. Users benefit from its seamless connectivity and advanced analytical functions, facilitating data blending and storytelling. Despite a complex learning curve and high licensing costs, its features like geospatial analysis and efficient content distribution drive its indispensable value for data-driven insights. Enhancements in predictive analytics and support integration with machine learning tools further its capabilities across industries.

• Interactive Visualizations: Enables users to create engaging reports.
• Drag-and-Drop Functionality: Simplifies data analysis processes.
• Data Integration: Offers seamless connectivity with multiple sources.
• Real-Time Collaboration: Supports synchronous data sharing.
• Advanced Analytics: Provides predictive analytics and geospatial analysis.

• Informed Decision-Making: Facilitates data-driven insights.
• Efficiency in Reporting: Streamlines dashboard and reporting tasks.
• Cost-Effectiveness: Despite high licensing, value in robust analytics tools.
• Customizable Options: Tailors analytics to specific needs.

Tableau Enterprise is widely used for business intelligence, supporting industries like healthcare, telecommunications, and finance. Organizations utilize it to analyze performance indicators, operational insights, and financial analytics, enhancing decision-making through interactive reports and real-time data integration.

ThoughtSpot is a powerful business intelligence tool that allows easy searching and drilling into data. Its ad hoc exploration and query-based search features are highly valued, and it is easy to set up, stable, and scalable. 

The solution is used for reporting purposes, self-service BI, and embedding into other applications for customers to do self-service analytics. It helps businesses with metrics, KPIs, and important insights by sourcing data from various sources into one golden source and visualizing it in an easy way for the business to consume. The pricing model is ideal, charging for data rather than the number of users.